Publication

Application

Priority

US 41736195 A 19950405

Abstract (en)

[origin: EP0736760A2] Irregularities in crankshaft velocity introduced when measuring crankshaft rotation at a section of a crankshaft (45) in an internal combustion engine that is less damped to torsional oscillations than is another more accessible crankshaft section are corrected by performing a nonlinear transformation via a neural network (100) to predict rotation measurements that would have been obtained at the inaccessible section from data actually collected at the accessible crankshaft section. Thus, the effects of torsional oscillations in the crankshaft (45) are substantially filtered away, resulting in crankshaft acceleration values that form the basis of a misfire detector (101) having nearly maximum signal-to-noise performance. <IMAGE>